Remote Internship Data Engineering Jobs in Virginia

ABOUT THE ROLE

We're hiring a hands-on technical leader to strengthen and expand Ennoble's ACO analytics data infrastructure. You'll own the design of a unified data platform integrating our Medicare claims feeds (DPC, CCLF, BCDA), CMS alignment and benchmark files, in-house clinical systems, and external vendor data into a single, accurate, queryable layer. We expect this person to bring engineering rigor and AI-augmented practices to our team.

You'll bring engineering rigor and AI-augmented practices to make our data trustworthy and fast to work with — using LLM coding assistants (e.g., Claude Code under BAA), automated QA, autonomous data-quality agents, intelligent cross-source reconciliation, MCP servers as needed, and conversational query layers to engineer faster and more reliably. You'll own our large-scale analytics platform and web app rollout as the team's analytical foundation, and share these practices with the rest of the team. Individual contributor today, with a clear path to building and leading an engineering team as scope grows.

WHAT YOU'LL DO

• Strengthen and expand our analytics data warehouse infrastructure
• Apply AI-augmented engineering in daily work: codify patterns for LLM coding assistants (e.g., Claude Code under BAA), agentic QA, autonomous data-quality monitoring agents, and conversational query layers
• Own data accuracy and reconciliation — build validation, monitoring, and audit infrastructure that catches issues before they reach reporting or CMS submissions — extending our ~158-object audit and observability framework (ADF run logging, MBI crosswalk QA, DPC parity harness, transactional refresh with auto-rollback)
• Partner with analytics leads (MSSP, ACO REACH/LEAD, GUIDE, Quality, Dashboards) to ensure infrastructure meets internal and external reporting requirements and advanced downstream modeling needs
• Lead large-scale analytics platform and web app implementation, integration, and maintenance
• Collaborate closely with IT and Engineering on tooling standards, organizational approvals, and security requirements (BAA scope, Microsoft Entra identity scoping, PHI/PII suppression, Azure SQL firewall)

WHAT WE'RE LOOKING FOR

• Data engineering depth: Strong hands-on experience with cloud-based analytics infrastructure and production data pipelines
• Platform: Microsoft Azure — incl. Azure SQL, Azure Data Factory, Azure DevOps, GitHub, Azure Blob Storage, Azure Databricks experience a strong plus
• SQL & Python: Expert T-SQL; Python proficient for ingestion utilities, internal web apps, and AI-agent tooling
• Data modeling: Experience designing unified/canonical models across heterogeneous source systems
• Data integrity: Demonstrated validation, reconciliation, and audit framework design — especially where discrepancies have material downstream impact
• Healthcare data: Familiarity with Medicare claims (CCLF, DPC, BCDA or similar) and/or risk-based contracting strongly preferred
• AI fluency: Track record using LLM-based tools (e.g., Claude Code, Copilot) to accelerate data engineering; comfortable using these tools to ship reliable engineering work on a small team
• DevOps: Experience integrating pipelines with CI/CD, version control, branching strategies (dev → test → prod), DACPAC or equivalent schema-migration tooling, and managed-identity-based deployment
• Communication: Able to translate infrastructure decisions and engineering workflows into business impact for non-technical stakeholders

CURRENT SCALE

• ~40,000 attributed patients across MSSP, ACO REACH, GUIDE, and LEAD
  • Various alignment, benchmark, and claim files spanning CMS/CMMI programs across multiple ACOs
• Three distinct Medicare claim feeds (DPC, CCLF, BCDA), each with its unique schema, inconsistencies, and challenges
• Internal clinical/operational data systems and structures
• External vendor data feeds, with planned data source expansion as Ennoble Care's ACO portfolio grows
• Existing data engineering foundation to continue building upon

WHAT WE OFFER

• Foundational, hands-on technical leadership at one of the nation's fastest-growing home-based care providers
• A working analytics stack to build on — production pipelines, active models, and a team already shipping
• Mission-driven culture focused on improving outcomes for homebound Medicare patients